Fast Multi-Baseline InSAR Phase Ambiguity Resolving Method with Low Computational Complexity

* This work is supported by NSFC under grant No. 41001282. Abstract A fast multi-baseline Interferometric synthetic aperture radar (InSAR) phase ambiguity resolving method is presented. The ambiguity solution vector of the shortest baseline is first computed and used as a reference, and then the ambiguity solutions of all the other baselines are selected with logical judgment of phase difference between the measured phase and the wrapped phase, which is obtained by rewrapping the product of the referenced phase and the ratios of the other baselines to the referenced baseline. 1-dimensional searching is then executed on the same index of the reserved ambiguity solutions vectors. Furthermore, the wrong estimates affected by noise are eliminated by taking the largest frequency of the ambiguity numbers counted in a window. Compared to the conventional Chinese remainder theory (CRT), the proposed method is more robust and has much less computational complexity. The validity is investigated with simulated results. Index Terms multi-baseline interferometric synthetic aperture radar (InSAR), phase ambiguity resolving, Chinese remainder theory (CRT)